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Learn Generative AI with PyTorch
Af: Mark Liu
Engelsk Hardback
Learn Generative AI with PyTorch
Af: Mark Liu
Engelsk Hardback

601 kr
Tilføj til kurv
Sikker betaling
6 - 8 hverdage

Om denne bog
Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music.

Learn Generative AI with PyTorch teaches the underlying mechanics of generative AI by building working AI models from scratch. Throughout, you''ll use the intuitive PyTorch framework that''s instantly familiar to anyone who''s worked with Python data tools. Along the way, you''ll master the fundamentals of General Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more!

In  Learn Generative AI with PyTorch you''ll build these amazing models:

  • A simple English-to-French translator
  • A text-generating model as powerful as GPT-2
  • A diffusion model that produces realistic flower images
  • Music generators using GANs and Transformers
  • An image style transfer model
  • A zero-shot know-it-all agent
The generative AI projects you create use the same underlying techniques and technologies as full-scale models like GPT-4 and Stable Diffusion. You don''t need to be a machine learning expert—you can get started with just some basic Python programming skills.
 
About the technology:
 
Transformers, Generative Adversarial Networks (GANs), diffusion models, LLMs, and other powerful deep learning patterns have radically changed the way we manipulate text, images, and sound. Generative AI may seem like magic at first, but with a little Python, the PyTorch framework, and some practice, you can build interesting and useful models that will train and run on your laptop. This book shows you how.
Product detaljer
Sprog:
Engelsk
Sider:
432
ISBN-13:
9781633436466
Indbinding:
Hardback
Udgave:
ISBN-10:
1633436462
Udg. Dato:
13 dec 2024
Længde:
27mm
Bredde:
234mm
Højde:
188mm
Forlag:
Manning Publications
Oplagsdato:
13 dec 2024
Forfatter(e):
Kategori sammenhænge